Professional Overview
AI/ML Engineer with hands-on experience in building intelligent systems using Machine Learning, Deep Learning, Computer Vision, and Large Language Models (LLMs). Skilled in developing RAG pipelines, agentic AI workflows, real-time voice-enabled AI applications, and production-ready AI services using Python, FastAPI, and cloud technologies. Experien
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
